• Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis

    25 days ago - By Oxford Journals

    AbstractMotivationIdentification of system-wide causal relationships can contribute to our understanding of long-distance, intercellular signalling in biological organisms. Dynamic transcriptome analysis holds great potential to uncover coordinated biological processes between organs. However, many existing dynamic transcriptome studies are characterized by sparse and often unevenly spaced time points that make the identification of causal relationships across organs analytically challenging. Application of existing statistical models, designed for regular time series with abundant time...
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  • Erratum to: An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures

    25 days ago - By Oxford Journals

    Bioinformatics (2020) doi: 10.1093/bioinformatics/btaa654
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